Create Real-Time Voice Agents with LiveKit and OpenAI

Voice-based artificial intelligence is transforming how users interact with software. If you want to build responsive, conversational applications, understanding real-time streaming and modern AI models is essential. This text-based course guides you through the process of creating your own voice AI agent. You will learn how to handle audio streams, manage conversational context, and integrate powerful language models to produce natural, low-latency voice interactions. What you'll learn: • Understand the fundamental concepts of real-time audio streaming and WebRTC. • Configure a modern development environment using up-to-date packaging tools and virtual environments. • Integrate LiveKit to manage audio input and output streams efficiently. • Connect to OpenAI real-time APIs to process spoken language and generate conversational responses. • Apply basic prompt engineering techniques to give your voice agent a distinct personality and clear behavioral boundaries. • Handle asynchronous data streams safely to ensure smooth, uninterrupted user experiences. The course begins with foundational terminology and core concepts of voice architecture before moving into practical, written exercises. You will read through step-by-step explanations and clear code snippets that gradually build up a functional voice application. Designed for programming beginners and developers new to AI, this course requires no prior experience with audio engineering or machine learning. Start reading today to build your first conversational voice agent.